A researcher on LessWrong analyzed their machine learning paper from seven years ago to evaluate its long-term utility. The author argues that immediate post-mortems focus too heavily on initial reception. This retrospective approach aims to identify flaws that only surface after the initial hype fades, offering a template for more honest AI safety research evaluations.